All papers
| Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing Michael Franklin, Murphy McCauley, Justin Ma, Ankur Dave, Tathagata Das, Mosharaf Chowdhury, Matei Zaharia |
| Naiad: A Timely Dataflow System Mart ́ın Abadi, Paul Barham, Michael Isard, Rebecca Isaacs, Frank McSherry, Derek G. Murray |
| Spanner: Google’s Globally-Distributed Database Sanjay Ghemawat, JJ Furman, Christopher Frost, Andrew Fikes, Michael Epstein, Jeffrey Dean, James Corbett |
| Memory Coherence in Shared Virtual Memory Systems Paul Hudak, Kai Li |
| Scaling Distributed Machine Learning with the Parameter Server James Long, Vanja Josifovski, Amr Ahmed, Alexander Smola, Jun W Park, David Andersen, Mu Li |
| Safe Kernel Extensions Without Run-Time Checking Peter Lee, George C. Necula |
| The Scalable Commutativity Rule: Designing Scalable Software for Multicore Processors Eddie Kohler, Robert T. Morris, Nickolai Zeldovich, Frans Kaashoek, Austin T. Clements |
| Implementing Fault-Tolerant Services Using the State Machine Approach: A Tutorial FRED B. SCHNEIDER |